Create personal apps powered by AI models
Get started freeGPT-4.1 vs Claude 3.5 Haiku
Compare GPT-4.1 and Claude 3.5 Haiku. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-4.1 | Claude 3.5 Haiku |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model Type | text | text |
| Context Window | 1,047,576 tokens | 200,000 tokens |
| Input Cost | $2.00/ 1M tokens | $0.80/ 1M tokens |
| Output Cost | $8.00/ 1M tokens | $4.00/ 1M tokens |
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Strengths & Best Use Cases
GPT-4.1
OpenAI1. Smartest non-reasoning model
- Highest intelligence among models without a reasoning step.
- Great for tasks where speed + accuracy matter without deep chain-of-thought.
2. Excellent instruction following
- Very strong at structured tasks, formatting, and precise execution.
- Ideal for productized workflows and deterministic outputs.
3. Reliable tool calling
- Works smoothly with Web Search, File Search, Image Generation, and Code Interpreter.
- Supports MCP and advanced tool-enabled API flows.
4. Large 1M-token context window
- Allows extremely long conversations, large documents, and multi-file use cases.
- Handles context-heavy tasks without requiring chunking.
5. Low latency (no reasoning step)
- Faster responses than GPT-5 family when reasoning mode isn't required.
- More predictable timing for production use.
6. Multimodal input
- Accepts text + image.
- Output is text only.
7. Supports fine-tuning
- Can be fine-tuned for specialized tasks.
- Also supports distillation for smaller custom models.
Claude 3.5 Haiku
Anthropic1. Intelligence & Benchmark Performance
- Matches Claude 3 Opus (previous largest model) on many intelligence tasks.
- Surpasses Claude 3 Opus on multiple evaluations despite being a smaller, faster model.
- Major improvements across every skill category vs previous Haiku.
2. Coding Strength
-
Scores 40.6% on SWE-bench Verified, outperforming:
- Claude 3.5 Sonnet (original version)
- GPT-4o
- Many agent-driven systems
-
Excellent for engineering assistants, agent coding tasks, and bug fixing.
3. Speed & Latency
- Same speed class as Claude 3 Haiku (ultra-fast).
- Ideal for real-time interactions, high request volumes, and UI responsiveness.
4. Tool Use & Instruction Following
- Better at following instructions than previous Haiku.
- Stronger at tool use accuracy, making it reliable for agents and workflows.
5. Best Use Cases
- High-volume, low-latency tasks
- User-facing products
- Sub-agent tasks in larger workflows
- Processing large structured datasets (pricing, inventory, purchase history)
- Rapid content or code generation where speed matters
Prompts to Get Started
Use these prompts to power AI products you build on Appaca. Each works great with the models above.
Best for GPT-4.1
textContent Hub (Central Resource Library)
Create a website content hub that centralizes resources related to persona challenges and positions your USP as the solution.
Conduct Legal Research & Analysis (Structured Memo)
Generate a structured legal research memo with governing law, key authorities, analysis, and a verification checklist.
Lead Nurturing Email Series (Education + Objections)
Create a lead nurturing email series that educates prospects, ties your USP to outcomes, and overcomes persona objections and challenges.
Best for Claude 3.5 Haiku
textBlog Post Outline Generator
Generate detailed outlines for blog posts to streamline your writing process and ensure comprehensive coverage.
Value-Added Service Inquiry (Pre-Arrival Email)
Write a polite pre-arrival email to request fee waivers or courtesy upgrades like premium Wi‑Fi and early check-in.
Uncover Precedents (Case Map + Misinterpretation Risks)
Create a precedent map for an area of law with key cases, rules/tests, and the risks of misreading precedent.
Build Apps Powered by AI
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